app.py

import os
import streamlit as st
import time
from metrics_tracker import MetricsTracker
from tool_handler import run_tool  # Use PySpur-integrated run_tool function

# Disable Chroma / PostHog telemetry
os.environ["ANONYMIZED_TELEMETRY"] = "FALSE"
os.environ["CHROMA_TELEMETRY"] = "FALSE"

# Load vector DB from ZIP on startup
import embedding  

# Set page config
st.set_page_config(
    page_title="❤️ HeartBot AI",
    layout="wide",
    page_icon="\U0001F3E5",
    initial_sidebar_state="expanded"
)

# Initialize session state
if "chat_history" not in st.session_state:
    st.session_state.chat_history = []
if "metrics" not in st.session_state:
    st.session_state.metrics = MetricsTracker()

# UI layout
with st.container():
    left_col, right_col = st.columns([1, 2], gap="large")

    with left_col:
        st.markdown("## ⚙️ Settings")
        selected_model = st.radio(
            "Select Model",
            ["llama-3.3-70b-versatile", "openai/gpt-oss-120b"],
            key="model_selector",
        )
        rag_toggle = st.toggle("Enable RAG", value=True, key="rag_toggle")
        print(f"Selected Model: {selected_model}")
        print(f"RAG Enabled: {rag_toggle}")

        st.markdown("---")

        st.markdown("## 💡 Key Features")
        st.markdown(
            """
        - **BioBERT for Embeddings**
        - **Prebuilt ChromaDB Vector Store**
        - **PySpur Tools Available:**
            - Treatment Recommender
            - Symptom Cause Analyzer
            - Clinical Trial Matcher
            - Chat Memory Symptom Reasoner
        """
        )

    with right_col:
        st.markdown(
            """
        <div style='text-align: center; padding-top: 10px;'>
            <h2>❤️ HeartBot AI</h2>
        </div>
        <br><br>
        """,
            unsafe_allow_html=True,
        )

        chat_container = st.container()
        user_query = None

        # Show chat history
        for entry in st.session_state.chat_history:
            with st.chat_message("user", avatar="🧑"):
                st.markdown(entry["user"])
            if "response" in entry:
                with st.chat_message("assistant", avatar="🤖"):
                    st.markdown(entry["response"])

        user_query = st.chat_input("Ask a question...")

        # Display metrics
        st.markdown("### 📊 Metrics Summary")
        metrics = st.session_state.metrics
        st.metric("Total Queries", metrics.total_queries)
        st.metric("Successful Routed Queries", metrics.successful_routings)
        st.metric("Average Response Time (s)", f"{metrics.avg_response_time():.2f}")
        
        if user_query:

            start_time = time.time()
            print(f"[QUERY] {user_query}")
        
            st.session_state.chat_history.append({"user": user_query})
        
            try:
                response, tool_used = run_tool(
                    user_query,
                    model=selected_model,
                    use_rag=rag_toggle
                )
                routed_correctly = True
            except Exception as e:
                response = f"Error handling query: {str(e)}"
                tool_used = "ERROR"
                routed_correctly = False
        
            end_time = time.time()
            response_time = end_time - start_time
        
            # metrics logging

            st.session_state.metrics.record_query(
                query=user_query,
                model=selected_model,
                use_rag=rag_toggle,
                tool_name=tool_used,
                routed_correctly=routed_correctly,
                response_time=response_time
        )

        
            # structured routing log
            print(
                    f"""
            === ROUTING EVENT ===
            Query: {user_query}
            Model: {selected_model}
            RAG Enabled: {rag_toggle}
            Tool Used: {tool_used}
            Response Time: {response_time:.2f}s
            Status: {'SUCCESS' if routed_correctly else 'FAILED'}
            ====================
            """
                )
        
            st.session_state.chat_history[-1]["response"] = response
            st.rerun()


        # Clear button
        if st.button("Clear Chat History"):
            st.session_state.chat_history = []
            print("Chat history cleared by the user.")
            st.session_state.metrics = MetricsTracker()
            st.rerun()

# Sidebar styling
st.markdown("""
<style>
    section[data-testid="stSidebar"] > div:first-child {
        border-right: 2px solid #ddd;
        padding-right: 1rem;
    }
</style>
""", unsafe_allow_html=True)